Senior Data Scientist, Anaytics (Risk  Compliance)

📋 Description

• Lead analytics and data design for priority regulatory reports (e.g. regulatory compliance, financial crime, and financial regulatory returns), from requirement translation through to data logic, testing, and go-live.
• Partner with Regulatory Compliance, FCC, Finance, DataOps and Data Engineering to standardise how we use common dimensions (accounts, FX, products, entities) across reports, leveraging the regulatory reporting data foundation.
• Work with Data Engineering to define automated test suites and manual QA playbooks that must pass before reports are submitted to regulators.
• Leverage snapshotting and versioning approaches so that “as-of” historical reports can be regenerated and explained consistently during RFIs, audits, or supervisory exams.
• Conduct deep-dive analyses when anomalies, RFIs, or audit findings arise – quantifying impact, identifying root causes across products/entities, and proposing remediation options.
• Shape requirements for a scalable regulatory reporting and risk analytics platform.

🎯 Requirements

• Bachelor's degree in Mathematics, Statistics, Operations Research, Finance, Economics or related quantitative discipline
• 5+ years proven risk management experience or equivalent, including analytics, modeling implementation, and stakeholder management
• 5+ years of hands-on experience extracting and manipulating large data with SQL, experience with scripting in Python, Shell or R
• Experience building visualizations using large datasets and multiple data sources using Looker or Tableau
• Excellent communication and stakeholder-management skills: able to explain technical data topics to non-technical audiences, document assumptions clearly, and influence cross-functional partners across Legal, Risk, Compliance, Finance, and Engineering.
• Direct experience working on regulatory reporting for risk and compliance domain